Abstract
Sustainability development is a core issue in autonomous regions’ construction and development. The paper evaluated the sustainability development of the five autonomous regions in Western China from 2010 to 2019. In order to further analyze the sustainable development level of the autonomous regions, it is compared with the three provinces with the largest GDP in Central China in the past three years, and similarly, with the three provinces in Eastern China. A new weighting method was proposed by combining the grey relational analysis (GRA) and set pair analysis (SPA) methods that not only analyze the correlation between indicators and ideal points but also analyze the status and development trend. The method can ensure the objectivity of indicator weight. Firstly, the ideal reference point is determined by the grey correlation degree between the indicator and the ideal positive point. Secondly, the indicator and the ideal reference point constitute a set pair system, and the relation number is used further to analyze the status and development trend of the indicator to determine the weight objectively. The sustainability results showed that the progress of the autonomous regions’ sustainable development in China was increased slowly in 2010–2019. For example, Ningxia and Xinjiang saw the slowest growth. The prime reason is that economic sustainability has declined severely. Although Inner Mongolia presented the highest increasing trends, the growth rate value was 0.75%. In contrast, other autonomous regions showed a negative growth trend. Regarding sustainable development in three dimensions, the economic sustainability performance of autonomous regions is not ideal, but the environmental sustainability performance is the most ideal. This conclusion implicates the necessity and urgency of improving the coordinated development of the three dimensions of autonomous regions in China.
Highlights
China is a unified multi-ethnic country with 55 ethnic minorities and five autonomous regions
Wang et al, analyzed the coordination ability in Yanchi County since it implemented the grazing prohibition policy by set pair analysis (SPA), and the results indicate that Yanchi County was essentially in the second grade of the national sustainable development level [43]
To extend the study period taking the year of 2010 as the base period, this paper evaluated the dynamic sustainability of the autonomous regions in China over the following ten consecutive years
Summary
China is a unified multi-ethnic country with 55 ethnic minorities and five autonomous regions. The population of ethnic minorities accounts for 8.5% of China’s total population, and the area of autonomous regions accounts for 45.7% of China’s total territory. Autonomous regions (there are five autonomous regions in China) and provinces (there are 23 provinces in China) have the same administrative level, but autonomous regions are pretty different from provinces. Autonomous regions have more administrative authority to exercise ethnic autonomy than provinces. The autonomous regions can enjoy many preferential policies related to ethnic minorities, such as economic subsidy policies for ethnic minorities and extra points for ethnic minority students in the college entrance examination. The autonomous regions are agglomerations for large minority populations. The system of regional ethnic autonomy is a fundamental political system of
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